System identification of underwater vehicles

Javier Pereira, Alec Duncan
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引用次数: 16

Abstract

The aim of this project was to obtain hydrodynamic derivative measurements from sea trials using an underwater vehicle which is a half-scale model of the PAP-104 mine countermeasures UUV. Trials data were collected for a series of manoeuvres which were then reconstructed to give the required vehicle state estimates. This reconstruction was carried out using an extended Kalman filter. Hydrodynamic derivative estimates were then generated by a stepwise regression algorithm, which took the reconstructed vehicle state and measured vehicle forces as input. Traditionally, these types of hydrodynamic measurements are made using a planar motion mechanism (PMM). Ideally system identification (SI) techniques would provide a more practical alternative, as the UUV need only be driven in a predefined way and the SI techniques applied in order to obtain current hydrodynamic measurements. SI techniques also give measurements based on the overall response of the vehicle and umbilical, which is not the case with PMM measurements.
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水下航行器系统识别
该项目的目的是使用一种水下航行器从海上试验中获得水动力导数测量,该水下航行器是PAP-104水雷对抗UUV的半比例模型。收集了一系列机动的试验数据,然后对其进行重构以给出所需的车辆状态估计。这种重构是使用扩展卡尔曼滤波器进行的。然后以重构的车辆状态和实测车辆力为输入,采用逐步回归算法生成流体动力导数估计。传统上,这些类型的水动力测量是使用平面运动机构(PMM)进行的。理想情况下,系统识别(SI)技术将提供更实用的替代方案,因为UUV只需要以预定义的方式驱动,SI技术用于获得当前的水动力测量。SI技术还可以根据运载工具和脐带缆的整体响应进行测量,而PMM测量则不是这样。
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